This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

Drought is a major abiotic stress that adversely affects the growth and productivity of plants.
Malondialdehyde (MDA), a substance produced by membrane lipids in response to reactive …

Saturated hydraulic conductivity (Ks) is an important soil characteristic that controls water
moves through the soil. On the other hand, its measurement is difficult, time-consuming, and …

The frequency and severity of floods have noticeably increased worldwide in the last
decades due to climate change and urbanization. This study aims to build an urban flood …

The Ardabil Plain is pivotal in the national agricultural sector and ranks among the leading
agricultural and horticultural production provinces. The primary objective of this study is to …

Recycling is one of the wonderful ways to manage construction waste in terms of reducing
the volume of wastes and decreasing the number of natural resources that are exploited in …

Several models with a variety of concepts and approaches have been proposed to address
different aspects of the Water-Energy-Food (WEF) nexus system. In some models, the …

Accurate streamflow prediction plays an essential role in guaranteeing the sustainable
utilization and management of water resources. In recent years, Artificial Intelligence (AI) …

In the current study, a novel method is proposed to analyze the simultaneous impacts of non-
stationarity in hydrological time series and land-use changes in urban areas to predict future …

In this paper, prediction of viscosity (μ nf) of MWCNT-MgO/SAE40 engine oil nanofluid (NF)
using artificial neural network (ANN) in different conditions (temperature, solid volume …